The attention mechanism [1]} is known to capture dependence. After its debut in machine translation, it has been applied in many vision tasks including font generation. RD-GAN[2]} using attention mechanism to extract rough radicals from content characters and then render them into target style. HWT [3]} uses transformer blocks to bridge the gap between image and text, making it capable of generating stylized handwriting English text images. Our
Style Aggregation Module is highly motivated by the attention mechanism for fine-grained feature map re-composition.
